Literature DB >> 32069225

Diagnostic amyloid proteomics: experience of the UK National Amyloidosis Centre.

Diana Canetti1, Nigel B Rendell1, Janet A Gilbertson1, Nicola Botcher1, Paola Nocerino1, Angel Blanco1, Lucia Di Vagno1, Dorota Rowczenio1, Guglielmo Verona1, P Patrizia Mangione1,2, Vittorio Bellotti1,2, Philip N Hawkins1, Julian D Gillmore1, Graham W Taylor1.   

Abstract

Systemic amyloidosis is a serious disease which is caused when normal circulating proteins misfold and aggregate extracellularly as insoluble fibrillary deposits throughout the body. This commonly results in cardiac, renal and neurological damage. The tissue target, progression and outcome of the disease depends on the type of protein forming the fibril deposit, and its correct identification is central to determining therapy. Proteomics is now used routinely in our centre to type amyloid; over the past 7 years we have examined over 2000 clinical samples. Proteomics results are linked directly to our patient database using a simple algorithm to automatically highlight the most likely amyloidogenic protein. Whilst the approach has proved very successful, we have encountered a number of challenges, including poor sample recovery, limited enzymatic digestion, the presence of multiple amyloidogenic proteins and the identification of pathogenic variants. Our proteomics procedures and approaches to resolving difficult issues are outlined.

Entities:  

Keywords:  amyloidosis; laser capture dissection; proteomics

Year:  2020        PMID: 32069225     DOI: 10.1515/cclm-2019-1007

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  5 in total

1.  Classification of Amyloidosis by Model-Assisted Mass Spectrometry-Based Proteomics.

Authors:  Nicolai Bjødstrup Palstrøm; Aleksandra M Rojek; Hanne E H Møller; Charlotte Toftmann Hansen; Rune Matthiesen; Lars Melholt Rasmussen; Niels Abildgaard; Hans Christian Beck
Journal:  Int J Mol Sci       Date:  2021-12-28       Impact factor: 5.923

2.  A Pilot Study of Rare Renal Amyloidosis Based on FFPE Proteomics.

Authors:  Shuang Meng; Wenwen Xia; Li Xia; Li Zhou; Jing Xu; Xiaoxia Pan; Liyuan Meng
Journal:  Molecules       Date:  2021-11-29       Impact factor: 4.411

3.  Clinical Amyloid Typing by Proteomics: Performance Evaluation and Data Sharing Between Two Centres.

Authors:  Diana Canetti; Francesca Brambilla; Nigel B Rendell; Paola Nocerino; Janet A Gilbertson; Dario Di Silvestre; Andrea Bergamaschi; Francesca Lavatelli; Giampaolo Merlini; Julian D Gillmore; Vittorio Bellotti; Pierluigi Mauri; Graham W Taylor
Journal:  Molecules       Date:  2021-03-29       Impact factor: 4.411

4.  Plasmin activity promotes amyloid deposition in a transgenic model of human transthyretin amyloidosis.

Authors:  Ivana Slamova; Rozita Adib; Stephan Ellmerich; Michal R Golos; Janet A Gilbertson; Nicola Botcher; Diana Canetti; Graham W Taylor; Nigel Rendell; Glenys A Tennent; Guglielmo Verona; Riccardo Porcari; P Patrizia Mangione; Julian D Gillmore; Mark B Pepys; Vittorio Bellotti; Philip N Hawkins; Raya Al-Shawi; J Paul Simons
Journal:  Nat Commun       Date:  2021-12-07       Impact factor: 14.919

5.  Clinical ApoA-IV amyloid is associated with fibrillogenic signal sequence.

Authors:  Diana Canetti; Paola Nocerino; Nigel B Rendell; Nicola Botcher; Janet A Gilbertson; Angel Blanco; Dorota Rowczenio; Alessandra Morelli; P Patrizia Mangione; Alessandra Corazza; Guglielmo Verona; Sofia Giorgetti; Loredana Marchese; Per Westermark; Philip N Hawkins; Julian D Gillmore; Vittorio Bellotti; Graham W Taylor
Journal:  J Pathol       Date:  2021-08-27       Impact factor: 9.883

  5 in total

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